In the study of small datasets, obtaining training samples from source categories for learning is a challenge in fine-grained image classification. Based on the fact that fine-grained concepts can be ...
Fine-Grained Visual Classification (FGVC), which focuses on accurately distinguishing subcategories within broader categories (e.g., birds, cars), has attracted significant attention due to its ...
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